Learning Path

High-Performance Computing Basics

Computer Architecture Fundamentals → Performance Optimization Techniques

9 Knowledge Nodes · 9 Learning Steps · v0 Active

This learning path introduces advanced computational science students to the core concepts and technologies of high-performance computing. Starting with computer architecture and parallel computing fundamentals, it progresses through distributed memory programming with MPI, shared memory with OpenMP, GPU programming with CUDA, and performance optimization techniques. The path emphasizes practical skills and the underlying principles that drive modern HPC systems.

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Learning Route

9 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

3 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps